Reasoning Web. Declarative Artificial Intelligence, 1st ed. 2020 16th International Summer School 2020, Oslo, Norway, June 24-26, 2020, Tutorial Lectures Information Systems and Applications, incl. Internet/Web, and HCI Series
Coordonnateurs : Manna Marco, Pieris Andreas
This volume contains 8 lecture notes of the 16th Reasoning Web Summer School (RW 2020), held in Oslo, Norway, in June 2020.
The Reasoning Web series of annual summer schools has become the prime educational event in the field of reasoning techniques on the Web, attracting both young and established researchers. The broad theme of this year's summer school was ?Declarative Artificial Intelligence? and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures have been presented during the school: Introduction to Probabilistic Ontologies, On the Complexity of Learning Description Logic Ontologies, Explanation via Machine Arguing, Stream Reasoning: From Theory to Practice, First-Order Rewritability of Temporal Ontology-Mediated Queries, An Introduction to Answer Set Programming and Some of Its Extensions, Declarative Data Analysis using Limit Datalog Programs, and Knowledge Graphs: Research Directions.
Marco Manna, University of Calabria, Italy
Andreas Pieris, University of Edinburgh, UK
Made for students, researchers and practitioners interested in Declarative Artificial Intelligence
Thoroughly revised tutorials cover various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications
Original, readable and useful lecture notes
Date de parution : 10-2020
Ouvrage de 255 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
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Mots-clés :
probabilistic reasoning; learning ontologies; explainable AI via argumentation; stream reasoning; temporal reasoning; answer set programming; limit datalog; knowledge graphs; automata theory; complexity results; computer hardware; computer programming; domain ontologies; formal languages; formal logic; graph theory; knowledge-based system; ontologies; query languages; theoretical computer science